Pregnancy as a risk factor for severe outcomes from influenza virus infection: A systematic review and meta-analysis of observational studies

ABSTRACTObjectivesFatigue is a pervasive clinical symptom for many infected with respiratory viruses such as influenza or coronaviruses. Prior evidence from influenza and coronavirus epidemics suggest that fatigue symptomology may continue beyond the acute phase, lasting for several months to several years post-discharge. This systematic review aimed to examine long-term fatigue prevalence among survivors and among communities, as well as investigate the current evidence for associated factors.DesignSystematic review and meta-analysis.SettingHospitalised and community samples.ParticipantsPatient populations with a confirmed diagnosis of a named influenza virus or coronavirus.Main outcomes measuredFatigue, fatigue syndromesResultsTen studies met the inclusion criteria for a pooled prevalence analysis and five studies were identified as eligible for a means differences analysis. A fatigue prevalence of 41% (95% CI 0.299-0.488) was found among a total population of 1,310. Using the ‘vitality’ subscale of the SF-36 as a proxy for fatigue, the estimate for means differences indicated a lower mean vitality score for survivors compared to population norms (M -1.523, CI -13.53 – 10.48), although this was not significant (p = 0.803). The most common associations with fatigue were PTSD, depression and anxiety, female gender and higher age.ConclusionsThis study reveals that a significant proportion of survivors (41%) experienced fatigue following their recovery from novel respiratory viruses such as SARS, MERS, SARS-CoV2 or influenza and that this fatigue can be long-lasting. Also, some factors such as female gender and psychological factors may contribute to continuing fatigue outcomes for this population.Strengths and limitations(a) this study provides support for long-term fatigue outcomes in people with a confirmed influenza, SARS, MERS, SARS-CoV2 virus infection (b) the study suggests individual, psychological and social factors are associated with fatigue, (c) findings are limited by the availability of fatigue data and lack of pre-morbid fatigue information; (d) a meta-analysis on the associations was prohibited by the small number of studies investigating long-term fatigue correlates and (e) the heterogeneity of the studies (>75%) suggests the pooled estimates should be interpreted with caution.

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Efficacy and safety of baloxavir marboxil versus neuraminidase inhibitors in the treatment of influenza virus infection in high-risk and uncomplicated patients – a Bayesian network meta-analysis

Current Medical Research and Opinion ◽

10.1080/03007995.2020.1839400 ◽

2020 ◽

pp. 1-20

Author(s):

Vanessa Taieb ◽

Hidetoshi Ikeoka ◽

Piotr Wojciechowski ◽

Katarzyna Jablonska ◽

Samuel Aballea ◽

...

Keyword(s):

Influenza Virus ◽

High Risk ◽

Virus Infection ◽

Bayesian Network ◽

Meta Analysis ◽

Influenza Virus Infection ◽

Neuraminidase Inhibitors ◽

Efficacy And Safety

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Intermediate CAG Repeat Expansion in the ATXN2 Gene Is a Unique Genetic Risk Factor for ALS−A Systematic Review and Meta-Analysis of Observational Studies

PLoS ONE ◽

10.1371/journal.pone.0105534 ◽

2014 ◽

Vol 9 (8) ◽

pp. e105534 ◽

Cited By ~ 18

Author(s):

Ming-Dong Wang ◽

James Gomes ◽

Neil R. Cashman ◽

Julian Little ◽

Daniel Krewski

Keyword(s):

Systematic Review ◽

Risk Factor ◽

Genetic Risk ◽

Observational Studies ◽

Meta Analysis ◽

Repeat Expansion ◽

Genetic Risk Factor ◽

Cag Repeat ◽

Cag Repeat Expansion

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Mortality rate and predictors of Stroke: A Meta-Analysis and Systematic Review

10.21203/rs.2.16369/v1 ◽

2019 ◽

Author(s):

Amanual Getnet Mersha ◽

Tadesse Melaku Abegaz ◽

Mohammed Assen Seid ◽

Eyob Alemayehu Gebreyohannes ◽

Akshaya Srikanth Bhagavath ◽

...

Keyword(s):

Systematic Review ◽

Risk Factor ◽

Observational Studies ◽

Meta Analysis ◽

Random Effect ◽

Stroke Mortality ◽

Stroke Event ◽

Meta Analyses ◽

Random Effect Models ◽

Overall Mortality

Abstract Background Global data on stroke mortality remained to be sparse. In light of this, we aimed to conduct a Meta-analysis and systematic review of observational studies to estimate the mortality of stroke and to identify risk factors that predispose patients for stroke-related death.Methods This study was conducted based on the Meta-Analyses of Observational Studies in Epidemiology (MOOSE) guidelines. Overall mortality, in-hospital and 30- day mortality due to stroke were the primary outcome measures of the study. The meta-analysis was performed using Stata (Version 14, Stata Corp, College Station, Texas). Random-effect models were used for estimating pooled effects.Findings Overall, thirty two studies assessed overall mortality due to stroke. A total number of 2,885, 126 patients were recruited for the study. Pooled estimate indicated that the overall mortality of stroke was reported to be 20% (19%-22%). Whereas, the 30-day and In-hospital mortality were found to be 18% (16%-20%) and 16% (16%-19%), respectively. A subgroup analysis revealed that Africa registered the highest stroke-related death 29% (23%-36%). Hypertension was found to be an important risk factor for mortality secondary to stroke 61.9% (52.8%-71.1%).Conclusion Overall mortality of stroke was estimated to be twenty percent. The burden of stroke mortality was prominent in Africa region. Hypertension remained to be an independent risk factor for stroke mortality. Mortality of stroke can be minimized by establishing stroke centers that promptly deliver emergency management of stroke event.

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